Identification of Acupoint Indication from Reverse Inference: Data Mining of Randomized Controlled Clinical Trials.

The specificity of acupoint indication (i.e., reverse inference-diseases for which an acupoint could be used) might differ from the specificity of acupoint selection (i.

Commonality and Specificity of Acupuncture Point Selections.

Objective: Because individual acupoints have a wide variety of indications, it is difficult to accurately identify the associations between acupoints and specific diseases. Thus, the present study aimed at revealing the commonality and specificity of acupoint selections using virtual medical diagnoses based on several cases.

Methods: Eighty currently practicing Korean Medicine doctors were asked to prescribe acupoints for virtual acupuncture treatment after being presented with medical information extracted from 10 case reports.

Exploring traditional acupuncture point selection patterns for pain control: data mining of randomised controlled clinical trials.

Background: The underlying principles of traditional acupuncture point selection for pain control are complex. Analysis of acupuncture treatments from clinical studies may provide us with a potential rule when selecting traditional acupuncture points (hereafter abbreviated as "points") in treatment protocols for pain control. The aim of this study was to investigate which points were most commonly used to treat pain in randomised controlled clinical trials (RCTs).

Statistical inference of acupoint specificity: forward and reverse inference.

Background: The acupoint specificity has been considered important issue in acupuncture research. In clinical aspects, it is essential to identify which acupoints are associated specifically with a particular disease. The present study aimed to identify the specificity of acupoint selection (forward inference) and the specificity of acupoint indication (reverse inference) from the online virtual diagnosis experiment.